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variable precision rough set and a Fuzzy Measure of Knowledge Based on variable precision rough set

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Journal of Southeast University(English Edition) 2002年第4期18卷 351-355页

作者：菅利荣达庆利陈伟达东南大学经济管理学院南京210096

variable precision rough set (VPRS) is an extension of rough set theory (RST). By setting threshold value β , VPRS looses the strict definition of approximate boundary in RST. Confident threshold value for β is discussed and the method for deriving decision making rules from an information system is given by an example. An approach to fuzzy measures of knowledge is proposed by applying VPRS to fuzzy sets. Some properties of this measure are studied and a pair of lower and upper approximation operato...

关键词： variable precision rough set fuzzy set information system fuzzy measures

A Method of Gene-Function Annotation Based on variable precision rough sets

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Journal of Bionic Engineering 2007年第3期4卷 177-184页

作者： Zhi-li Pei Xiao-hu Shi Meng Niu Xu-ning Tang Li-sha Liu Ying Kong Yan-chun Liang College of Computer Science and Technology Jilin University Key Laboratory of Symbol Computation and Knowledge Engineering of the Ministry of Education Changchun 130012 P. R. China College of Mathematics and Computer Science Inner Mongolia University for NationalitiesTongliao 028043 P. R. China College of Software Jilin University Changchun 130012 P. R. China Department of Biochemistry and Molecular Biology Institution of Glycobiology Dalian Medical University Dalian 116027 P. R. China

It is very important in the field of bioinformatics to apply computer to perform the function annotation for new sequenced bio-sequences. Based on GO database and BLAST program, a novel method for the function annotation of new biological sequences is presented by using the variable-precision rough set theory. The proposed method is applied to the real data in GO database to examine its effectiveness. Numerical results show that the proposed method has better precision, recall-rate and harmonic mean value compared with existing methods.

关键词： gene function annotation variable precision rough set GO BLAST

Application of rough set Theory in Fault Diagnostic Rules Acquisition

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Journal of Donghua University(English Edition) 2007年第2期24卷 276-279页

作者：殷晨波周庆敏李永生 College of Mechanical and Power Engineering Nanjing University of Technology College of Information Science and Engineering Nanjing University of Technology

rough set theory is a new mathematical tool to deal with vagneness and uncertainty. But original rough sets theory only generates deterministic rules and deals with data sets in which there is no noise. The variable precision rough set model （VPRSM） is presented to handle uncertain and noisy information. A method based on VPRSM is proposed to apply to fault diagnosis feature extraction and rules acquisition for industrial applications. An example for fault diagnosis of rotary machinery is given to show that the method is very effective.

关键词： variable precision rough set fault diagnosisrules acquisition

MAINTENANCE LEVEL DECISION OF AERO-ENGINE BASED ON VPRS THEORY

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Transactions of Nanjing University of Aeronautics and Astronautics 2005年第4期22卷 281-284页

作者：张海军左洪福梁剑南京航空航天大学民航学院

An aero-engine is a typically repairable and complex system and its maintenance level has a close relationship with the maintenance cost. The inaccurate measurement for the maintenance level of an aero-engine can induce higher overhaul maintenance costs. variable precision rough set （VPRS） theory is used to determine the maintenance level of an aero-engine. According to the relationship between condition information and performance parameters of aero-engine modules, decision rules are established for reflecting the real condition of an aeroengine when its maintenance level needs to be determined. Finally, the CF6 engine is used as an example to illustrate the method to be effective.

关键词： repairable system aero-engine maintenance level variable precision rough set attribute reduction

A Generalized rough set Modeling Method for Welding Process

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Journal of Shanghai Jiaotong university(Science) 2007年第3期12卷 319-322,327页

作者：黎文航陈善本林涛杜全营 Inst. of Welding Technology. Shanghai Jiaotong Univ.

Modeling is essential, significant and difficult for the quality and shaping control of arc welding process. A generalized rough set based modeling method was brought forward and a dynamic predictive model for pulsed gas tungsten arc welding (GTAW) was obtained by this modeling method. The results show that this modeling method can well acquire knowledge in welding and satisfy the real life application. In addition, the results of comparison between classic rough set model and back-propagation neural network model respectively are also satisfying.

关键词： variable precision rough set modeling welding process gas tungsten arc welding(GTAW)

Study on Family Carbon Emissions Assessment and Optimization

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Study on Family Carbon Emissions Assessment and Optimization

基于Bayes概率边界域的粗集分类方法及其在高频数据中的应用

2011 2nd International Conference on Challenges in Environmental Science and Computer Engineering (CESCE 2011)

作者： Li Huizi School of economic and management North China Electric Power University Beijing

This paper focuses on a standard home including 3 members by using rough set Rosetta software to gain influence of row carbon factor, then use the information entropy method as a factor weights to conclude that formula model which is on the basis of formula for each family score. Eventually contrast it with standard level so that we can get the optimization results and feasibility of some suggestions.

关键词： variable precision rough set Software Rosetta The information entropy Weighted formula

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